Here, we provide an introduction to the required computational analysis of SMLM imaging, post-processing and typical data analysis. Importantly, user-friendly, ready-to-use and well-documented code in ...

Identifying and characterizing secreted virulence proteins are fundamental for deciphering microbial pathogenicity. Here, the authors introduce a practical training framework to improve protein ...

India's tech job market is thriving, with tech professionals seeing a 9.5% salary increase and roles like AI/ML architects ...

This course provides an overview of a range of resources and practical bioinformatic tools that are used in molecular biology. Scientists actively developing and applying bioinformatic tools in their ...

This course provides an introduction to key concepts and methods in bioinformatics. Emphasis will be put on review of efficient algorithms, data structures, and techniques used in current applications ...

Computational biology and bioinformatics is an interdisciplinary field that develops and applies computational methods to analyse large collections of biological data, such as genetic sequences ...

Machine learning has shown utility in detecting patterns within large, unstructured, and complex datasets. One of the promising applications of machine learning is in precision medicine, where disease ...

Our students and faculty are changing the world through their contributions to computing education, research, and industry. These awards received by members of the UT Computer Science community make ...